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DevOps Engineer

Thành phố Hồ Chí Minh, Việt Nam
Lịch 03/04/2026
| Toàn thời gian
Ứng tuyển
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Thỏa thuận

location
Nơi làm việc

Thành phố Hồ Chí Minh

ngày
Hạn nộp

03/04/2026

target
Số lượng cần tuyển

2

NHIỆM VỤ CHÍNH

- Design, set up, and manage infrastructure on cloud platforms (AWS, GCP, Azure) or on-premise environments.
- Develop and maintain CI/CD pipelines, integrating automated testing and deployment for software products and AI models.
- Collaborate with development teams to package applications (Docker), manage containers (Kubernetes), and monitor system resources.
- Monitor, log, and alert on system performance, stability, and security.
- Automate operational tasks, optimize infrastructure costs, and ensure uptime for critical systems.
- Support the deployment of AI services, big data processing, or APIs for machine learning models in production environments.
- Create technical documentation and operational guides, assisting in troubleshooting.
- Ensure compliance with security standards and internal information system regulations.

YÊU CẦU CÔNG VIỆC

- Design, set up, and manage infrastructure on cloud platforms (AWS, GCP, Azure) or on-premise environments.
- Develop and maintain CI/CD pipelines, integrating automated testing and deployment for software products and AI models.
- Collaborate with development teams to package applications (Docker), manage containers (Kubernetes), and monitor system resources.
- Monitor, log, and alert on system performance, stability, and security.
- Automate operational tasks, optimize infrastructure costs, and ensure uptime for critical systems.
- Support the deployment of AI services, big data processing, or APIs for machine learning models in production environments.
- Create technical documentation and operational guides, assisting in troubleshooting.
- Ensure compliance with security standards and internal information system regulations.

CHẾ ĐỘ VÀ PHÚC LỢI

- Competitive salary based on skills and experience.
- Performance-based bonuses and recognition for contributions.
- Advanced technical environment with opportunities to work on large-scale data systems and modern AI solutions.
- Transparent and professional work culture, supporting long-term career development.

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